A study for efficiently solving optimisations problems with an increasing number of design variables

S. Trichon, M.H.A. Bonte, A.H. van den Boogaard, J.-P. Ponthot

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

Coupling optimisation algorithms to Finite Element Methods (FEM) is a very promising way to achieve optimal metal forming processes. However, many optimisation algorithms exist and it is not clear which of these algorithms to use. This paper investigates the sensitivity of a Sequential Approximate Optimisation algorithm (SAO) proposed in [1–4] to an increasing number of design variables and compares it with two other algorithms: an Evolutionary Strategy (ES) and an Evolutionary version of the SAO (ESAO). In addition, it observes the influence of different Designs Of Experiments used with the SAO. It is concluded that the SAO is very capable and efficient and its combination with an ES is not beneficial. Moreover, the use of SAO with Fractional Factorial Design is the most efficient method, rather than Full Factorial Design as proposed in [1–4].
Original languageEnglish
Title of host publicationMaterials processing and design: modeling, simulation and applications
Subtitle of host publicationNUMIFORM '07 : proceedings of the 9th International Conference on Numerical Methods in Industrial Forming Processes, Porto, Portugal, 17-21 June, 2007
EditorsJ.M.A. César de Sá, Abel D. Santos
Place of PublicationMelville, NY
PublisherAmerican Institute of Physics
Pages481-486
ISBN (Electronic)978-0-7354-0416-8
ISBN (Print)978-0-7354-0415-1
DOIs
Publication statusPublished - 2007
Event9th International Conference on Numerical Methods in Industrial Forming Processes, NUMIFORM 2007 - Porto, Portugal
Duration: 17 Jun 200721 Jun 2007
Conference number: 9

Conference

Conference9th International Conference on Numerical Methods in Industrial Forming Processes, NUMIFORM 2007
Abbreviated titleNUMIFORM
CountryPortugal
CityPorto
Period17/06/0721/06/07

Keywords

  • Metamodelling
  • Design of Experiments (DoE)
  • Numerical optimisation

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    Trichon, S., Bonte, M. H. A., van den Boogaard, A. H., & Ponthot, J-P. (2007). A study for efficiently solving optimisations problems with an increasing number of design variables. In J. M. A. César de Sá, & A. D. Santos (Eds.), Materials processing and design: modeling, simulation and applications: NUMIFORM '07 : proceedings of the 9th International Conference on Numerical Methods in Industrial Forming Processes, Porto, Portugal, 17-21 June, 2007 (pp. 481-486). Melville, NY: American Institute of Physics. https://doi.org/10.1063/1.2740857